Gene expression profile at single cell level of telogen and early anagen mouse hair follicle
Single-cell RNA-seq · mouse · 2 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Mus musculus (mouse)
- Samples
- 2 samples: 2 samples, each with a distinct title — no replicated groupsGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE333781_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1471523. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 2 sample titles: 2 distinct titles with little repetition. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM9772928 Single-cell RNA-Seq of Mus musculus: telogen stage dorsal skin hair follicle
- GSM9772929 Single-cell RNA-Seq of Mus musculus: anagen stage dorsal skin hair follicle
- GSE310777 ALKBH5 acts as a facilitator for hair follicle telogen to anagen transition 28 samples shares follicle, telogen, anagen, hair
- GSE300176 Molecular Signatures and Signaling Interactions of the Hair Follicle Stem Cell Niche 56 samples shares follicle, hair
- GSE208730 RNA sequencing of slow-and fast-cycling epidermal stem cells vs hair follicle stem cells in murine back skin, tail skin vs oral epithelium 35 samples shares follicle, hair
- GSE246952 Intermittent fasting triggers interorgan communication to suppress hair follicle regeneration 17 samples shares follicle, hair
- GSE295605 Dermal adipocytes activate hair follicle stem cells through metabolic communication [SDS II] 16 samples shares follicle, hair
- GSE308939 Single-cell RNA-seq reveals the keratinocyte heterogeneity and increased interfollicular basal keratinocytes in wound-induced hair follicle neogenesis 6 samples shares follicle, hair
- GSE239990 Dermal adipocytes activate hair follicle stem cells through metabolic communication 32 samples shares follicle, hair
- GSE72863 Hair follicle aging is driven by transepidermal stem cell elimination via COL17A1 proteolysis 12 samples shares follicle, hair
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.